Mixup-Based Acoustic Scene Classification Using Multi-channel Convolutional Neural Network-Reference-Cited by-同舟云学术

Mixup-Based Acoustic Scene Classification Using Multi-channel Convolutional Neural Network

Published:2018 Issue: Volume: Page:14-23
ISSN:0302-9743
Container-title:Advances in Multimedia Information Processing – PCM 2018
language:
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Author:

Xu Kele,Feng Dawei,Mi Haibo,Zhu Boqing,Wang Dezhi,Zhang Lilun,Cai Hengxing,Liu Shuwen

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-00764-5_2

Reference25 articles.

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3. Marchi, E., Tonelli, D., Xu, X., Ringeval, F., Deng, J., Squartini, S.: The up system for the 2016 DCASE challenge using deep recurrent neural network and multiscale kernel subspace learning. In: IEEE AASP Challenge on Detection and Classification of Acoustic Scenes and Events (DCASE) (2016)

4. Adavanne, S.: Sound event detection in multichannel audio using spatial and harmonic features. In: IEEE AASP Challenge on Detection and Classification of Acoustic Scenes and Events (DCASE) (2016)

5. Elizalde, B., Lei, H., Friedland, G., Peters, N.: An i-vector based approach for audio scene detection. In: IEEE AASP Challenge on Detection and Classification of Acoustic Scenes and Events (DCASE) (2013)

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